SOTAVerified

Binary Classification

Papers

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Showing 1476–1500 of 2574 papers

TitleStatusHype
Related Named Entities Classification in the Economic-Financial Context—0
Relative intrinsic dimensionality is intrinsic to learning—0
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text—0
Reliable Detection of Compressed and Encrypted Data—0
Representer Point Selection for Explaining Regularized High-dimensional Models—0
ResDTA: Predicting Drug-Target Binding Affinity Using Residual Skip Connections—0
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification—0
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods—0
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis—0
Resource-Efficient Wearable Computing for Real-Time Reconfigurable Machine Learning: A Cascading Binary Classification—0
Rethinking Log Odds: Linear Probability Modelling and Expert Advice in Interpretable Machine Learning—0
Retraining with Predicted Hard Labels Provably Increases Model Accuracy—0
Retrieval-Augmented Mining of Temporal Logic Specifications from Data—0
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification—0
Reverse Engineering and Symbolic Knowledge Extraction on Łukasiewicz Fuzzy Logics using Linear Neural Networks—0
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator—0
A Test Statistic Estimation-based Approach for Establishing Self-interpretable CNN-based Binary Classifiers—0
Apple Tasting: Combinatorial Dimensions and Minimax Rates—0
Revolutionizing Wildfire Detection with Convolutional Neural Networks: A VGG16 Model Approach—0
RFDforFin: Robust Deep Forgery Detection for GAN-generated Fingerprint Images—0
Risk-Averse Classification—0
Risk bounds for PU learning under Selected At Random assumption—0
Risk Bounds for the Majority Vote: From a PAC-Bayesian Analysis to a Learning Algorithm—0
RiskLabs: Predicting Financial Risk Using Large Language Model based on Multimodal and Multi-Sources Data—0
RNN for Affects at SemEval-2018 Task 1: Formulating Affect Identification as a Binary Classification Problem—0
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All datasetsfakekickstarterGlyphnet DatasetTII-SSRC-23

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.98—Unverified
2LightGBM + OpenAI embeddingAUROC0.97—Unverified
3FTTransformer + RoBERTa fintuneAUROC0.96—Unverified
4LightGBM + RoBERTa embeddingAUROC0.95—Unverified
5FTTransformer + RoBERTa embeddingAUROC0.94—Unverified
6ResNet + RoBERTa embeddingAUROC0.93—Unverified
7ResNet + OpenAI embeddingAUROC0.92—Unverified
8FTTransformer + OpenAI embeddingAUROC0.91—Unverified
#ModelMetricClaimedVerifiedStatus
1Trompt + OpenAI embeddingAUROC0.81—Unverified
2Multimodal-Net All-TextAUROC0.8—Unverified
3ResNet + RoBERTa finetuneAUROC0.79—Unverified
4LightGBM + RoBERTa embeddingAUROC0.77—Unverified
#ModelMetricClaimedVerifiedStatus
1Attention based CNNF1 score0.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XGBoostF1-Score98.79—Unverified